Triple

T8192247
Position Surface form Disambiguated ID Type / Status
Subject Province of Toledo E191338 entity
Predicate contains P35 FINISHED
Object Sonseca
Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
 E718303 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sonseca | Statement: [Province of Toledo, contains, Sonseca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sonseca
Context triple: [Province of Toledo, contains, Sonseca]
  • A. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • B. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • C. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • D. Sotres
    Sotres is a small mountain village in Asturias, northern Spain, known as a popular base for hiking and accessing the Picos de Europa.
  • E. Coveñas
    Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sonseca
Triple: [Province of Toledo, contains, Sonseca]
Generated description
Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sonseca
Target entity description: Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
  • A. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • B. Narón
    Narón is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its close ties to the nearby city of Ferrol and its role in the region’s industrial and service economy.
  • C. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • D. Sotres
    Sotres is a small mountain village in Asturias, northern Spain, known as a popular base for hiking and accessing the Picos de Europa.
  • E. Coveñas
    Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da4a6f08190be8088a28d928341 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cceda1b22c8190acc1a2cd0fe36b70 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:42 p.m.